Decelerated spreading in degree-correlated networks
While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively)...
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Language: | en_US |
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American Physical Society
2012
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Online Access: | http://hdl.handle.net/1721.1/72101 |
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author | Schlapfer, Markus Stefan Buzna, Lubos |
author2 | Massachusetts Institute of Technology. Department of Urban Studies and Planning |
author_facet | Massachusetts Institute of Technology. Department of Urban Studies and Planning Schlapfer, Markus Stefan Buzna, Lubos |
author_sort | Schlapfer, Markus Stefan |
collection | MIT |
description | While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively) correlated networks if nodes with a high connectivity locally accelerate (decelerate) the propagation. Examining the efficient paths offers a coherent explanation for this result, while the k-core decomposition reveals the dependence of the nodal spreading efficiency on the correlation. Our findings should open new pathways to delicately control real-world spreading processes. |
first_indexed | 2024-09-23T14:12:23Z |
format | Article |
id | mit-1721.1/72101 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:12:23Z |
publishDate | 2012 |
publisher | American Physical Society |
record_format | dspace |
spelling | mit-1721.1/721012022-09-28T19:08:08Z Decelerated spreading in degree-correlated networks Schlapfer, Markus Stefan Buzna, Lubos Massachusetts Institute of Technology. Department of Urban Studies and Planning Schläpfer, Markus Stefan Schlapfer, Markus Stefan While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively) correlated networks if nodes with a high connectivity locally accelerate (decelerate) the propagation. Examining the efficient paths offers a coherent explanation for this result, while the k-core decomposition reveals the dependence of the nodal spreading efficiency on the correlation. Our findings should open new pathways to delicately control real-world spreading processes. 2012-08-10T19:24:35Z 2012-08-10T19:24:35Z 2012-01 2011-12 Article http://purl.org/eprint/type/JournalArticle 1539-3755 1550-2376 http://hdl.handle.net/1721.1/72101 Schläpfer, Markus, and Lubos Buzna. “Decelerated Spreading in Degree-correlated Networks.” Physical Review E 85.1 (2012). © 2012 American Physical Society en_US http://dx.doi.org/10.1103/PhysRevE.85.015101 Physical Review E Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society APS |
spellingShingle | Schlapfer, Markus Stefan Buzna, Lubos Decelerated spreading in degree-correlated networks |
title | Decelerated spreading in degree-correlated networks |
title_full | Decelerated spreading in degree-correlated networks |
title_fullStr | Decelerated spreading in degree-correlated networks |
title_full_unstemmed | Decelerated spreading in degree-correlated networks |
title_short | Decelerated spreading in degree-correlated networks |
title_sort | decelerated spreading in degree correlated networks |
url | http://hdl.handle.net/1721.1/72101 |
work_keys_str_mv | AT schlapfermarkusstefan deceleratedspreadingindegreecorrelatednetworks AT buznalubos deceleratedspreadingindegreecorrelatednetworks |